Paul Macko
VERIFIED TECHNICAL DOSSIERSources checked

Paul Macko

AI Automation Strategist

2 Verified ArtifactsSource Checked & Attributed

Verified Proof of Work Artifacts

2 items cataloged

Each artifact below represents an authenticated research publication, production code repository, or technical architectural framework directly authored or co-created by Paul Macko. Every entry undergoes editorial source verification.

#1
IMPLEMENTATION Checked Sep 20, 2026

Automated Content Repurposing Engine for Long-Form Media

Built an end-to-end automated workflow that ingests audio podcasts, generates precise Whisper transcripts, identifies viral hooks using LLM evaluation, and renders styled short-form video clips automatically.

Model & Execution Context:Whisper API, Claude 3.5 Sonnet, FFmpeg command automation, Python script runner.
Scope & Limitations

Multi-speaker audio with heavy background music can lead to transcript misalignment without voice separation preprocessing.

#2
EXPLANATION Checked Sep 20, 2026

The Deplatformable Guide to Local LLMs and Self-Hosted Data Sovereignty

Published an authoritative guide detailing the hardware specifications, quantization trade-offs (GGUF, EXL2), and network sandboxing needed to run private foundation models offline on consumer Apple Silicon and NVIDIA workstations.

Model & Execution Context:Ollama, LM Studio, llama.cpp, Llama 3 8B/70B quantized models.
Scope & Limitations

Consumer hardware memory limits restrict inference speeds when running 70B parameter models without substantial unified RAM.